1. Acute physiological outcomes of high-intensity functional training: a scoping review
- Author
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Jacob M. McDougle, Gerald T. Mangine, Jeremy R. Townsend, Adam R. Jajtner, and Yuri Feito
- Subjects
CrossFit ,Exercise intensity ,Methodology ,Resistance exercise ,HIIT ,Medicine ,Biology (General) ,QH301-705.5 - Abstract
Background Systematic reviews and meta-analyses related to high-intensity functional training (HIFT) have been conducted. However, due to a restricted pool of available research, these investigations are often limited in scope. As such, a scoping review investigating the present literature surrounding the acute physiological response to HIFT-based exercise was chosen as a more appropriate structured review. Methodology A scoping review was conducted following Arksey and O’Malley’s framework. Three large scale databases were searched to reveal any article pertaining to HIFT and related exercise terminology. Results A total of 2,241 articles were found during the initial search. Following this, titles, then abstracts, and full-texts were reviewed to determine inclusion eligibility. A total of 60 articles which investigated a combined total of 35 unique HIFT workouts were included within this review. Conclusions A variety of physiological parameters and HIFT workouts have been examined. Markers of intensity (e.g., blood lactate concentrations, heart rate) have been most consistently assessed across all studies, and these support the idea that HIFT workouts are typically performed at high-intensity. In contrast, the inclusion of most other measures (e.g., hormonal, markers of inflammation and damage, energy expenditure, performance) has been inconsistent and has thus, limited the possibility for making generalized conclusions. Differences in study methodologies have further impacted conclusions, as different studies have varied in sample population characteristics, workouts assessed, and time points. Though it may be impossible to comprehensively research all possible HIFT workouts, consistent adoption of population definitions and workload quantification may overcome this challenge and assist with future comparisons.
- Published
- 2023
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